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images
0. Course Logistics.ipynb
1. Why are we here.ipynb
2. Topic Modeling with NMF and SVD.ipynb
3. Background Removal with Robust PCA.ipynb
4. Compressed Sensing of CT Scans with Robust Regression.ipynb
5. Health Outcomes with Linear Regression.ipynb
6. How to Implement Linear Regression.ipynb
7. PageRank with Eigen Decompositions.ipynb
8. Implementing QR Factorization.ipynb
Homework 1.ipynb
Homework 2.ipynb
Homework 3.ipynb
convolution-intro.ipynb
gradient-descent-intro.ipynb
Project_ideas.txt
graddesc.xlsm